Build Reliable AI Apps with Observability, Validations and Evaluations

Learn to build reliable AI applications through comprehensive observability, validation, and evaluation techniques in this 52-minute tech talk. Explore strategic approaches for transitioning generative AI from experimental phases to enterprise-level deployment with a focus on system reliability and trustworthiness. Discover how to implement Monocle for observability monitoring, utilize Okahu's VS Code Extension for diagnostic capabilities, and leverage Okahu Cloud for workflow evaluation. Master the essential practices for creating AI systems that maintain predictability and reliability while remaining innovative, addressing the critical challenges faced when scaling AI applications in production environments.